Best AI papers explained
A podcast by Enoch H. Kang
523 Episoade
-
The Logic of Machines: The AI Reasoning Debate
Publicat: 12.06.2025 -
Layer by Layer: Uncovering Hidden Representations in Language Models
Publicat: 12.06.2025 -
Causal Attribution Analysis for Continuous Outcomes
Publicat: 12.06.2025 -
Training a Generally Curious Agent
Publicat: 12.06.2025 -
Estimation of Treatment Effects Under Nonstationarity via Truncated Difference-in-Q’s
Publicat: 12.06.2025 -
Strategy Coopetition Explains the Emergence and Transience of In-Context Learning
Publicat: 12.06.2025 -
Emergent Misalignment: Narrow finetuning can produce broadly misaligned LLMs
Publicat: 11.06.2025 -
Agentic Supernet for Multi-agent Architecture Search
Publicat: 11.06.2025 -
Sample Complexity and Representation Ability of Test-time Scaling Paradigms
Publicat: 11.06.2025 -
Aligning with Human Judgement: The Role of Pairwise Preference in Large Language Model Evaluators
Publicat: 10.06.2025 -
LLMs Get Lost In Multi-Turn Conversation
Publicat: 09.06.2025 -
PromptPex: Automatic Test Generation for Prompts
Publicat: 08.06.2025 -
General Agents Need World Models
Publicat: 08.06.2025 -
The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models
Publicat: 07.06.2025 -
Decisions With Algorithms
Publicat: 07.06.2025 -
Adapting, fast and slow: Causal Approach to Few-Shot Sequence Learning
Publicat: 06.06.2025 -
Conformal Arbitrage for LLM Objective Balancing
Publicat: 06.06.2025 -
Simulation-Based Inference for Adaptive Experiments
Publicat: 06.06.2025 -
Agents as Tool-Use Decision-Makers
Publicat: 06.06.2025 -
Quantitative Judges for Large Language Models
Publicat: 06.06.2025
Cut through the noise. We curate and break down the most important AI papers so you don’t have to.
